{"id":"W4210649882","doi":"10.1002/for.2787","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Journal of Forecasting","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001119171,0.0001475111,0.0006156448,0.0005875062,0.0001924383,0.0001489854,0.0003453045,0.00008537054,0.1788272],"category_scores_gemma":[0.000215586,0.0001621803,0.0002637521,0.0001660361,0.00003589953,0.0007322433,0.000160315,0.0004154043,0.07848768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530445,"about_ca_system_score_gemma":0.00005276102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002863554,"about_ca_topic_score_gemma":3.778356e-7,"domain_scores_codex":[0.998256,0.000008637671,0.001330125,0.0001278605,0.0000616386,0.0002157724],"domain_scores_gemma":[0.9964815,0.00005035971,0.003196808,0.0001334974,0.00007885767,0.00005896587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001019223,0.0000108619,0.00004888478,0.00004979383,0.0001109561,0.000002907285,0.0007884159,0.001162239,7.706389e-8,0.0006558296,0.9945199,0.002639968],"study_design_scores_gemma":[0.0002714517,0.000064436,0.00001194833,0.00003913686,0.00001074433,0.00003923537,0.0008082736,0.0004980219,0.000001710999,0.0003036697,0.9977922,0.000159103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003868224,0.003522089,0.0002865251,0.0001276606,0.03642306,0.00007158309,0.0007145396,0.000003456301,0.9584643],"genre_scores_gemma":[0.001991068,0.0008758861,0.0007634368,0.0002846364,0.001431504,0.00000470907,0.00005223309,0.00002053428,0.994576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1003395,"threshold_uncertainty_score":0.9222298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0631382867450737,"score_gpt":0.2224138600775679,"score_spread":0.1592755733324942,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}